AUTHOR=Yuan Xiaosong , Han Xiaoya , Jia Chenbo , Long Wei , Wang Huiyan , Yu Bin , Zhou Jun TITLE=Investigation and Application of Risk Factors of Macrosomia Based on 10,396 Chinese Pregnant Women JOURNAL=Frontiers in Endocrinology VOLUME=13 YEAR=2022 URL=https://www.frontiersin.org/journals/endocrinology/articles/10.3389/fendo.2022.837816 DOI=10.3389/fendo.2022.837816 ISSN=1664-2392 ABSTRACT=Objective

The objective of this study was to examine the association of fetal macrosomia with maternal D-dimer and blood lipid levels, and explore whether D-dimer and blood lipids, either alone or in combination with traditional risk factors at hospital birth, could be used to predict subsequent delivery of macrosomia.

Methods

From April 2016 to March 2017, 10,396 women with singleton pregnancy giving birth at around 28–41 weeks of gestation were recruited into the present study. D-dimer and blood lipid levels were measured at hospital admission; and data on birth outcomes were obtained from hospital records.

Results

Multivariate logistic regression analysis showed that D-dimer, triglyceride and HDL-C levels were significantly associated with risk of macrosomia independent of traditional risk factors (for D-dimer: adjusted OR: 1.33, 95% CI, 1.23–1.43; for triglyceride: adjusted OR: 1.14, 95% CI, 1.05–1.23; for HDL-C: adjusted OR: 0.35, 95% CI, 0.24–0.51, all P <0.01). More importantly, incorporating D-dimer and blood lipids into the traditional model significantly increased the area under curve (AUC) for prediction of macrosomia (0.783 vs. 0.811; P <0.01).

Conclusion

Our study demonstrates that maternal D-dimer, triglyceride, and HDL-C levels before hospital birth could be significant and independent of risk factors of fetal macrosomia. Therefore, combining D-dimer and blood lipid levels with traditional risk factors might improve the ability to predict macrosomia in gestational diabetes mellitus and normal pregnancies.